Shaik Mohammed Nabeel

About

Third-year B.Tech CSE student with hands-on experience building AI-enabled software, web applications, automation workflows, and data-driven projects. Interested in AI engineering, software development, and practical problem solving.

Experience

• AI Engineer Intern
  Vynedam Private Limited
  Jul 2026 – Present

  Worked on AI engineering assignments while gaining hands-on experience with Linux systems, file systems, storage, server configuration and Ansible automation. Practiced inventories, modules, YAML playbooks, facts, roles and idempotent configuration across Linux environments.

• R&d Director
  Zency Studios
  Feb 2025 – Present

  Research and prototype software solutions using development frameworks, APIs and AI tools. Work with developers on implementation, debugging, feature planning and evaluating technologies. Contribute to technical decisions, system design and coordinating small project teams from idea to working prototype.

Education

• Bachelor's Degree
  CMR College of Engineering & Technology
  Computer Science & Engineering · Aug 2024 – May 2028

Skills

• Artificial intelligence <3 months
• Data Analysis <3 months
• Python <3 months
• Machine Learning <3 months
• Prompt Engineering <3 months
• Software Development <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Google Gemini <3 months
• Supabase <3 months
• Vercel <3 months
• VS Code <3 months

Projects

• PLADE - Gamified Learning Platform
  Unreal Engine 5, Python, Gameplay Systems

  Co-developed an FPP-style educational game that teaches coding through interactive challenges, missions, progression, and gameplay mechanics. Worked on turning programming concepts into structured interactive learning tasks.

• Gigzora - AI-Powered Agentic CRM ↗
  Next.js, TypeScript, Supabase, PostgreSQL, Gemini, Brevo

  Built an AI-assisted CRM for discovering business leads, extracting contact information, scoring prospects, managing pipelines, and automating personalized email outreach. Worked on the web dashboard, database workflows, AI-assisted actions, and email integration.

• ONER - AI Industrial Decarbonization Platform ↗
  Python, FastAPI, React, AI/ML, Data Analytics

  Built an industrial carbon intelligence platform for analyzing emissions data, investigating anomalies, forecasting trends, simulating interventions, and providing AI-assisted insights. Worked on the backend, frontend integration, data analysis workflows, and AI features.